SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 851875 of 10033 papers

TitleStatusHype
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather eventsCode0
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry KeysCode0
Extending Defensive DistillationCode0
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine LearningCode0
Accelerating Cross-Validation in Multinomial Logistic Regression with _1-RegularizationCode0
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite ImageryCode0
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathwayCode0
Face Recognition: From Traditional to Deep Learning MethodsCode0
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode0
Exploiting Parallelism Opportunities with Deep Learning FrameworksCode0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
Exploration of Parameter Spaces Assisted by Machine LearningCode0
Explanatory machine learning for sequential human teachingCode0
Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept LearningCode0
ExploreKit: Automatic Feature Generation and SelectionCode0
A General Machine Learning Framework for Survival AnalysisCode0
A generalized method toward drug-target interaction prediction via low-rank matrix projectionCode0
Explaining Vulnerabilities to Adversarial Machine Learning through Visual AnalyticsCode0
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning ApproachCode0
LIMEADE: From AI Explanations to Advice TakingCode0
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine LearningCode0
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research DirectionsCode0
Explaining a black-box using Deep Variational Information Bottleneck ApproachCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Active Learning amidst Logical KnowledgeCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified